Dynamic downscaling and daily nowcasting from influenza surveillance data

Real‐time trends from surveillance data are important to assess and develop preparedness for influenza outbreaks. The overwhelming testing demand and limited capacity of testing laboratories for viral positivity render daily confirmed case data inaccurate and delay its availability in preparedness....

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Detalles Bibliográficos
Autores principales: Paul, Rajib, Han, Dan, DeDoncker, Elise, Prieto, Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544787/
https://www.ncbi.nlm.nih.gov/pubmed/35718471
http://dx.doi.org/10.1002/sim.9502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9544787/
https://www.ncbi.nlm.nih.gov/pubmed/35718471
http://dx.doi.org/10.1002/sim.9502

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